Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

Research on Data Management Ability Evaluation of Manufacturing Enterprises Based on PROMETHEE Method of Hesitation and Fuzzy Language

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2341949,
        author={Churan  Lin and Mu  Zhang},
        title={Research on Data Management Ability Evaluation of Manufacturing Enterprises Based on PROMETHEE Method of Hesitation and Fuzzy Language},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={hesitation fuzzy language; promethee method; multi-attribute decision making; manufacturing enterprise; data management ability},
        doi={10.4108/eai.27-10-2023.2341949}
    }
    
  • Churan Lin
    Mu Zhang
    Year: 2024
    Research on Data Management Ability Evaluation of Manufacturing Enterprises Based on PROMETHEE Method of Hesitation and Fuzzy Language
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2341949
Churan Lin1,*, Mu Zhang1
  • 1: Guizhou University of Finance and Economics
*Contact email: 1035024390@qq.com

Abstract

In recent years, as the global economy has entered the era of big data, the importance of data management ability for Chinese enterprises in such fields as risk prediction, business model adjustment and value discovery has become increasingly prominent. Strengthening the capacity building of data management has become the key point for enterprises to promote digital transformation. Enterprises should deeply understand the inevitability of enterprise upgrading and transformation under the trend of digitalization, seize the data factor market to cultivate new opportunities, enhance the sense of responsible subject in managing and making good use of data resources, strengthen the construction of data management professionals. It has become an inevitable choice for enterprises to explore and develop the value of data, actively carry out digital transformation and use data to drive business development. However, how to improve the data management ability of the enterprise needs a more comprehensive evaluation and analysis of its data management ability.